Literature DB >> 8417983

Do deleterious mutations act synergistically? Metabolic control theory provides a partial answer.

E Szathmáry1.   

Abstract

Metabolic control theory is used to derive conditions under which two deleterious mutations affecting the dynamics of a metabolic pathway act synergistically. It is found that two mutations tend to act mostly synergistically when they reduce the activity of the same enzyme. If the two mutations affect different enzymes, the conclusion depends on the way that fitness is determined by aspects of the pathway. The cases analyzed are: selection for (1) maximal flux, (2) maximal equilibrium concentration (pool size) of an intermediate, (3) optimal flux, (4) optimal pool size. The respective types of epistasis found are: (1) antagonistic, (2) partly synergistic, (3-4) synergism is likely to predominate over antagonism. This results in somewhat different predictions concerning the effect of metabolic mutations on fitness in prokaryotes and eukaryotes. The fact that bacteria are largely clonal but have often a mosaic gene structure is consistent with expectations from the model.

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Year:  1993        PMID: 8417983      PMCID: PMC1205292     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  14 in total

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Authors:  K F Jensen; S Pedersen
Journal:  Microbiol Rev       Date:  1990-06

2.  Metabolic flux and fitness.

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Journal:  Genetics       Date:  1987-01       Impact factor: 4.562

Review 3.  Deleterious mutations and the evolution of sexual reproduction.

Authors:  A S Kondrashov
Journal:  Nature       Date:  1988-12-01       Impact factor: 49.962

Review 4.  MOlecular democracy: who shares the controls?

Authors:  H Kacser; J A Burns
Journal:  Biochem Soc Trans       Date:  1979-10       Impact factor: 5.407

5.  Dominance, pleiotropy and metabolic structure.

Authors:  P D Keightley; H Kacser
Journal:  Genetics       Date:  1987-10       Impact factor: 4.562

6.  Evolution of bacterial transformation: is sex with dead cells ever better than no sex at all?

Authors:  R J Redfield
Journal:  Genetics       Date:  1988-05       Impact factor: 4.562

Review 7.  Genetic transformation.

Authors:  H O Smith; D B Danner; R A Deich
Journal:  Annu Rev Biochem       Date:  1981       Impact factor: 23.643

8.  The control of flux.

Authors:  H Kacser; J A Burns
Journal:  Symp Soc Exp Biol       Date:  1973

9.  The molecular basis of dominance.

Authors:  H Kacser; J A Burns
Journal:  Genetics       Date:  1981 Mar-Apr       Impact factor: 4.562

10.  A general model to account for enzyme variation in natural populations. V. The SAS--CFF model.

Authors:  J H Gillespie
Journal:  Theor Popul Biol       Date:  1978-08       Impact factor: 1.570

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  31 in total

1.  Fluxes and metabolic pools as model traits for quantitative genetics. I. The L-shaped distribution of gene effects.

Authors:  B Bost; C Dillmann; D de Vienne
Journal:  Genetics       Date:  1999-12       Impact factor: 4.562

2.  Recessive mutations and the maintenance of sex in structured populations.

Authors:  A F Agrawal; J R Chasnov
Journal:  Genetics       Date:  2001-06       Impact factor: 4.562

3.  The evolution of recombination in a heterogeneous environment.

Authors:  T Lenormand; S P Otto
Journal:  Genetics       Date:  2000-09       Impact factor: 4.562

4.  Drift increases the advantage of sex in RNA bacteriophage Phi6.

Authors:  Art Poon; Lin Chao
Journal:  Genetics       Date:  2004-01       Impact factor: 4.562

Review 5.  The population genetics of antibiotic resistance: integrating molecular mechanisms and treatment contexts.

Authors:  R Craig MacLean; Alex R Hall; Gabriel G Perron; Angus Buckling
Journal:  Nat Rev Genet       Date:  2010-06       Impact factor: 53.242

Review 6.  Mutation and the evolution of recombination.

Authors:  N H Barton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-04-27       Impact factor: 6.237

7.  Evolution of dominance in metabolic pathways.

Authors:  Homayoun C Bagheri; Günter P Wagner
Journal:  Genetics       Date:  2004-11       Impact factor: 4.562

8.  Evolution of recombination due to random drift.

Authors:  N H Barton; Sarah P Otto
Journal:  Genetics       Date:  2005-01-31       Impact factor: 4.562

9.  Adaptive dynamics of regulatory networks: size matters.

Authors:  Dirk Repsilber; Thomas Martinetz; Mats Björklund
Journal:  EURASIP J Bioinform Syst Biol       Date:  2009-03-12

10.  Environment determines epistatic patterns for a ssDNA virus.

Authors:  S Brian Caudle; Craig R Miller; Darin R Rokyta
Journal:  Genetics       Date:  2013-11-08       Impact factor: 4.562

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